Installation procedure on Windows
PyFAI is a Python library. Even if you are only interested in some tool like pyFAI-calib or pyFAI-integrate, you need to install the complete library (for now). This is usually performed in 3 steps:
install Python,
install the scientific Python stack
install pyFAI itself.
Get Python
Unlike on Unix computers, Python is not available by default on Windows computers. We recommend you to install the 64 bit version of Python, preferably the latest 64 bits version from the Python 3 series 64 bits.
The 64 bits version is strongly advised if your hardware and operating system supports it, as the 32 bits versions is limited to 2 GB of memory, hence unable to treat large images (like 4096 x 4096). The test suite is not passing on Windows 32 bits due to the limited amount of memory available to the Python process. PyFAI has not been tested under Windows 32 bits for a while now, this configuration is unsupported.
Alternative Scientific Python stacks exists, like Enthought Python Distribution , Anaconda, WinPython. They all offer most of the scientific packages already installed which makes the installation of dependencies much easier. On the other hand, they all offer different packaging system and we cannot support all of them. Moreover, distribution from Enthought and Anaconda are not free so you should be able to get support from those companies.
Nota: any flavor of those Python distribution is probably incompatible with any other due to change in compiler or Python compilation options. Mixing them is really looking for trouble, hence strongly discouraged.
Install PIP
PIP is the package management system for Python, it connects to the Python Package Index, download and install software packages from there.
PIP has revolutionize the way Python libraries are installed as it is able to select the right build for your system, or compile them from the sources, which could be extremely tricky otherwise. If you installed Python compatible with pyFAI (3.6 or newer), PIP is already installed. From now on, one expects python.exe to be in your PATH.
Nota: Because PIP connects to the network, the http_proxy and https_proxy environment variable may need to be set-up properly. At ESRF, this is no more needed.
Install pyFAI via PIP
pip install pyFAI[gui] --upgrade
This will install:
NumPy
SciPy
matplotlib
FabIO
h5py
silx
h5py
PyQt5
Using Christoph Gohlke repository
Christoph Gohlke is a researcher at Laboratory for Fluorescence Dynamics, University of California, Irvine. He is maintaining a large repository Python extension (actually, all we need :) for Windows. Check twice the Python version and the Windows version (win32 or win_amd64) before downloading.
Moreover the libraries he provides are linked against the MKL library from Intel which makes his packages faster then what you would get by simply recompiling them.
Christoph now provides packages as wheels. To install them, download the wheels and use PIP:
pip install numpy*.whl
Alternatively, you can use the wheelhouse of the silx project:
pip install --trusted-host www.silx.org --find-links http://www.silx.org/pub/wheelhouse/ numpy scipy matplotlib fabio PyQt5
Install pyFAI from sources
The sources of pyFAI are available at https://github.com/silx-kit/pyFAI/releases the development is performed on https://github.com/silx-kit/pyFAI
In addition to the Python interpreter, you will need *the* C compiler compatible with your Python interpreter.
To upgrade the C-code in pyFAI, one needs in addition Cython:
pip install -r requirements.txt --upgrade
python setup.py build
python run_tests.py
pip install . --upgrade
Troubleshooting
This section contains some tips on windows.
Side-by-side error
When starting pyFAI you get a side-by-side error like:
ImportError: DLL load failed: The application has failed to start because its
side-by-side configuration is incorrect. Please see the application event log or
use the command-line sxstrace.exe tool for more detail.
This means you are using a version of pyFAI which was compiled using the MSVC compiler (maybe not on your computer) but the Microsoft Visual C++ Redistributable Package is missing.